A green isolated word sign language recognition system based on geodesic metric space

Sana Fakhfakh, Yousra Ben Jemaa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper presents a new isolated word sign language (IWSL) recognition strategy to attempt an ecological and friendly solution based on the deaf brain pipeline. Two major steps are proposed in this research field.The first one is based on hands shape-motion extraction and the second is based on its analysis without introducing deep learning frameworks (DLF) to carry out less data, less time execution and less carbon footprint consumption.So, we focus on developing an energy-saving system offering a green IWSL recognition system based on geodesic distance as an elastic measure while preserving the same DLF performance. Results indicate that the new IWSL recognition system is a promising solution as it trades off energy and accuracy compared with existing systems.

Original languageEnglish
Title of host publicationProceedings - 2023 International Conference on Cyberworlds, CW 2023
EditorsNajoua Essoukri Ben Amara, Alexei Sourin, Olga Sourina, Christophe Rosenberger
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages274-281
Number of pages8
ISBN (Electronic)9798350315653
DOIs
StatePublished - 2023
Externally publishedYes
Event22nd International Conference on Cyberworlds, CW 2023 - Sousse, Tunisia
Duration: 3 Oct 20235 Oct 2023

Publication series

NameProceedings - 2023 International Conference on Cyberworlds, CW 2023

Conference

Conference22nd International Conference on Cyberworlds, CW 2023
Country/TerritoryTunisia
CitySousse
Period3/10/235/10/23

Keywords

  • complexity redaction
  • geodesic distance
  • Isolated word sign language recognition
  • performance analysis

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